For more QCon posts, see my live blog table of contents. Adrian is from Gilt.

History

• No off the shelf software to run a flash sale business. Therefore Gilt has to do something custom.
• Started with Ruby on Rails in 2007. Didn’t scale well enough
• Moved to Java in 2011
• Moved to microservices in 2015
• In a 30 day period, moved bulk of Gilt to Amazon

Problems

• Isolation problem – nobody should be able to take down someone else’s work
• A noon outage in 2013 – what happened
• Impedance mismatch problems. “Developers often think of machines as something that’s all theirs, magically provided by the hardware fairy.”

Machines for Gilt Japan

• Run 20-40 containers per machine.
• Load balancer between two racks of three boxes each.
• Separate machines for the database and email.
• From developer’s point of view, a machine is a machine.

What did Gilt Japan learn

• Scalable by time of day
• Solves impedance mismatch – developers see “a machine”
• Limits damage one person can do
• Infra/Devops engineer embedded into engineering team
• Outstanding potential problems
  • Static infrastructure
  • Resource hogging

Docker topology

• Dark canary – only for internal use
• Canary – First prod install. Let it run for a while (ex through a noon cycle for Gilt)
• Release – Once happy with canary, roll it out to other nodes
• Gilt has a lot of read only traffic which limits damage you can do and reduces need for staging environment.
• Gilt has one container per host/EC2 instance
• Want to have as few moving parts/risk points in deployment process
• “We could solve this now, or just wait six months and Amazon wil provide a solution”

Projects

• ION Roller
  • Immutable deployment – Destroy original cluster when done with this process for Docker upgrades.
  • Slow to setup/tear down environments.
  • Can be expensive for continuous deployment
  • Open source, but in house.
• Nova
  • Uses yaml to deploy
  • No Docker registry. Base images are on Docker. Releases aren’t needed on there so go straight to Amazon
  • Less boilerplate
  • Immutable deployment on mutable infrastructure. Docker container is immutable.
• Fighting bit rot, chaos-monkey style
  • Don’t want things to run forever in Prod.
  • What if there is a security vulnerability
  • Every day, kill oldest AMI randomly. This forces latest AMI with fixes and fail early.
  • Doesn’t solve vulnerability in Docker container. Would need new release with new base image for that. Hasn’t happened to Gilt yet.
• Sundial
  • For running batch jobs
  • Automatically reschedules if fail
  • Define a process – group of tasks with dependencies between them

EC2

• Less configuration
• Automatic rollout
• Integrations
• IAM roles are at instance level, not container level

Using Docker as a local build platform

• Different projects use different versions of build tools
• Docker can be used as a versioned build container.
• A year from now, will still have everything need to run code

Lessons

• Containers let separate what deploy from how.where deploy it
• Still the wild west on how containers are deployed
• Seek immutability in the container, not in the stack
• The competitive advantage for Gilt is to be able to deploy quickly/frequently/safely to production and therefore can innovate faster. Gilt lets engineers deploy whenever they want without asking permission.